Text-to-Speech
PyTorch
ONNX
Catalan
matcha-tts
acoustic modelling
speech
multispeaker
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Update README.md

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@@ -108,20 +108,20 @@ The embedding layer was initialized with the number of catalan speakers (47) and
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  ### Training Hyperparameters
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- batch size: 32 (x2 GPUs)
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- learning rate: 1e-4
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- number of speakers: 47
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- n_fft: 1024
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- n_feats: 80
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- sample_rate: 22050
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- hop_length: 256
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- win_length: 1024
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- f_min: 0
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- f_max: 8000
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- data_statistics:
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- mel_mean: -6.578195
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- mel_std: 2.538758
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- number of samples: 13340
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  ## Evaluation
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  ### Training Hyperparameters
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+ * batch size: 32 (x2 GPUs)
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+ * learning rate: 1e-4
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+ * number of speakers: 47
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+ * n_fft: 1024
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+ * n_feats: 80
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+ * sample_rate: 22050
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+ * hop_length: 256
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+ * win_length: 1024
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+ * f_min: 0
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+ * f_max: 8000
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+ * data_statistics:
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+ ** mel_mean: -6.578195
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+ ** mel_std: 2.538758
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+ * number of samples: 13340
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  ## Evaluation
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